six challenges in measuring contact networks for use in modelling

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ID: 142795
2015
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Abstract
Contact networks are playing an increasingly important role in epidemiology. A contact network represents individuals in a host population as nodes and the interactions among them that may lead to the transmission of infection as edges. New avenues for data collection in recent years have afforded us the opportunity to collect individual- and population-scale information to empirically describe the patterns of contact within host populations. Here, we present some of the current challenges in measuring empirical contact networks. We address fundamental questions such as defining contact; measurement of non-trivial contact properties; practical issues of bounding measurement of contact networks in space, time and scope; exploiting proxy information about contacts; dealing with missing data. Finally, we consider the privacy and ethical issues surrounding the collection of contact network data.
Reference Key
eames2015epidemicssix Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;K. Eames;S. Bansal;S. Frost;S. Riley
Journal Communications biology
Year 2015
DOI
10.1016/j.epidem.2014.08.006
URL
http://www.sciencedirect.com/science/article/pii/S1755436514000413
Keywords
networks mathematical modelling disease transmission model-driven data collectioninfectious and parasitic diseases

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